MIP
  • Results
52-week base $1000
  • Capacity and Generation
  • Capacity Tables
  • Transmission Expansion
  • Emissions
  • Dispatch
  • Capacity Factors
  • Operational Results
  • Total Capacity
  • New-build Capacity
  • Existing Capacity
  • Total Capacity (wide)
  • Regional Capacity
---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/altair/vegalite/v5/api.py in ?(self, include, exclude)
   2154         # see https://github.com/ipython/ipython/issues/11038
   2155         try:
   2156             dct = self.to_dict()
   2157         except Exception:
-> 2158             utils.display_traceback(in_ipython=True)
   2159             return {}
   2160         else:
   2161             return renderers.get()(dct)

/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/altair/vegalite/v5/api.py in ?(self, *args, **kwargs)
   2516             # for easier specification of datum encodings.
   2517             copy = self.copy(deep=False)
   2518             copy.data = core.InlineData(values=[{}])
   2519             return super(Chart, copy).to_dict(*args, **kwargs)
-> 2520         return super().to_dict(*args, **kwargs)

/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/altair/vegalite/v5/api.py in ?(self, *args, **kwargs)
    846 
    847         # TopLevelMixin instance does not necessarily have to_dict defined
    848         # but due to how Altair is set up this should hold.
    849         # Too complex to type hint right now
--> 850         dct = super(TopLevelMixin, copy).to_dict(*args, **kwargs)  # type: ignore[misc]
    851 
    852         # TODO: following entries are added after validation. Should they be validated?
    853         if is_top_level:

/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/altair/utils/schemapi.py in ?(self, validate, ignore, context)
    792                 k: v for k, v in kwds.items() if k not in list(ignore) + ["shorthand"]
    793             }
    794             if "mark" in kwds and isinstance(kwds["mark"], str):
    795                 kwds["mark"] = {"type": kwds["mark"]}
--> 796             result = _todict(
    797                 kwds,
    798                 context=context,
    799             )

/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/altair/utils/schemapi.py in ?(obj, context)
    336         return obj.to_dict(validate=False, context=context)
    337     elif isinstance(obj, (list, tuple, np.ndarray)):
    338         return [_todict(v, context) for v in obj]
    339     elif isinstance(obj, dict):
--> 340         return {k: _todict(v, context) for k, v in obj.items() if v is not Undefined}
    341     elif hasattr(obj, "to_dict"):
    342         return obj.to_dict()
    343     elif isinstance(obj, np.number):

/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/altair/utils/schemapi.py in ?(.0)
--> 340 def _todict(obj, context):
    341     """Convert an object to a dict representation."""
    342     if isinstance(obj, SchemaBase):
    343         return obj.to_dict(validate=False, context=context)

/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/altair/utils/schemapi.py in ?(obj, context)
    333 def _todict(obj, context):
    334     """Convert an object to a dict representation."""
    335     if isinstance(obj, SchemaBase):
--> 336         return obj.to_dict(validate=False, context=context)
    337     elif isinstance(obj, (list, tuple, np.ndarray)):
    338         return [_todict(v, context) for v in obj]
    339     elif isinstance(obj, dict):

/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/altair/utils/schemapi.py in ?(self, validate, ignore, context)
    792                 k: v for k, v in kwds.items() if k not in list(ignore) + ["shorthand"]
    793             }
    794             if "mark" in kwds and isinstance(kwds["mark"], str):
    795                 kwds["mark"] = {"type": kwds["mark"]}
--> 796             result = _todict(
    797                 kwds,
    798                 context=context,
    799             )

/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/altair/utils/schemapi.py in ?(obj, context)
    336         return obj.to_dict(validate=False, context=context)
    337     elif isinstance(obj, (list, tuple, np.ndarray)):
    338         return [_todict(v, context) for v in obj]
    339     elif isinstance(obj, dict):
--> 340         return {k: _todict(v, context) for k, v in obj.items() if v is not Undefined}
    341     elif hasattr(obj, "to_dict"):
    342         return obj.to_dict()
    343     elif isinstance(obj, np.number):

/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/altair/utils/schemapi.py in ?(.0)
--> 340 def _todict(obj, context):
    341     """Convert an object to a dict representation."""
    342     if isinstance(obj, SchemaBase):
    343         return obj.to_dict(validate=False, context=context)

/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/altair/utils/schemapi.py in ?(obj, context)
    333 def _todict(obj, context):
    334     """Convert an object to a dict representation."""
    335     if isinstance(obj, SchemaBase):
--> 336         return obj.to_dict(validate=False, context=context)
    337     elif isinstance(obj, (list, tuple, np.ndarray)):
    338         return [_todict(v, context) for v in obj]
    339     elif isinstance(obj, dict):

/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/altair/vegalite/v5/schema/channels.py in ?(self, validate, ignore, context)
     43                 # We still parse it out of the shorthand, but drop it here.
     44                 parsed.pop('type', None)
     45             elif not (type_in_shorthand or type_defined_explicitly):
     46                 if isinstance(context.get('data', None), pd.DataFrame):
---> 47                     raise ValueError(
     48                         'Unable to determine data type for the field "{}";'
     49                         " verify that the field name is not misspelled."
     50                         " If you are referencing a field from a transform,"

ValueError: Unable to determine data type for the field "tech_type"; verify that the field name is not misspelled. If you are referencing a field from a transform, also confirm that the data type is specified correctly.
alt.Chart(...)
  • Total Generation
  • New-build Generation
  • Existing Generation
  • Total Generation (wide)
  • Regional Generation
---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/altair/vegalite/v5/api.py in ?(self, include, exclude)
   2154         # see https://github.com/ipython/ipython/issues/11038
   2155         try:
   2156             dct = self.to_dict()
   2157         except Exception:
-> 2158             utils.display_traceback(in_ipython=True)
   2159             return {}
   2160         else:
   2161             return renderers.get()(dct)

/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/altair/vegalite/v5/api.py in ?(self, *args, **kwargs)
    846 
    847         # TopLevelMixin instance does not necessarily have to_dict defined
    848         # but due to how Altair is set up this should hold.
    849         # Too complex to type hint right now
--> 850         dct = super(TopLevelMixin, copy).to_dict(*args, **kwargs)  # type: ignore[misc]
    851 
    852         # TODO: following entries are added after validation. Should they be validated?
    853         if is_top_level:

/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/altair/utils/schemapi.py in ?(self, validate, ignore, context)
    792                 k: v for k, v in kwds.items() if k not in list(ignore) + ["shorthand"]
    793             }
    794             if "mark" in kwds and isinstance(kwds["mark"], str):
    795                 kwds["mark"] = {"type": kwds["mark"]}
--> 796             result = _todict(
    797                 kwds,
    798                 context=context,
    799             )

/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/altair/utils/schemapi.py in ?(obj, context)
    336         return obj.to_dict(validate=False, context=context)
    337     elif isinstance(obj, (list, tuple, np.ndarray)):
    338         return [_todict(v, context) for v in obj]
    339     elif isinstance(obj, dict):
--> 340         return {k: _todict(v, context) for k, v in obj.items() if v is not Undefined}
    341     elif hasattr(obj, "to_dict"):
    342         return obj.to_dict()
    343     elif isinstance(obj, np.number):

/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/altair/utils/schemapi.py in ?(.0)
--> 340 def _todict(obj, context):
    341     """Convert an object to a dict representation."""
    342     if isinstance(obj, SchemaBase):
    343         return obj.to_dict(validate=False, context=context)

/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/altair/utils/schemapi.py in ?(obj, context)
    333 def _todict(obj, context):
    334     """Convert an object to a dict representation."""
    335     if isinstance(obj, SchemaBase):
--> 336         return obj.to_dict(validate=False, context=context)
    337     elif isinstance(obj, (list, tuple, np.ndarray)):
    338         return [_todict(v, context) for v in obj]
    339     elif isinstance(obj, dict):

/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/altair/vegalite/v5/api.py in ?(self, *args, **kwargs)
    846 
    847         # TopLevelMixin instance does not necessarily have to_dict defined
    848         # but due to how Altair is set up this should hold.
    849         # Too complex to type hint right now
--> 850         dct = super(TopLevelMixin, copy).to_dict(*args, **kwargs)  # type: ignore[misc]
    851 
    852         # TODO: following entries are added after validation. Should they be validated?
    853         if is_top_level:

/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/altair/utils/schemapi.py in ?(self, validate, ignore, context)
    792                 k: v for k, v in kwds.items() if k not in list(ignore) + ["shorthand"]
    793             }
    794             if "mark" in kwds and isinstance(kwds["mark"], str):
    795                 kwds["mark"] = {"type": kwds["mark"]}
--> 796             result = _todict(
    797                 kwds,
    798                 context=context,
    799             )

/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/altair/utils/schemapi.py in ?(obj, context)
    336         return obj.to_dict(validate=False, context=context)
    337     elif isinstance(obj, (list, tuple, np.ndarray)):
    338         return [_todict(v, context) for v in obj]
    339     elif isinstance(obj, dict):
--> 340         return {k: _todict(v, context) for k, v in obj.items() if v is not Undefined}
    341     elif hasattr(obj, "to_dict"):
    342         return obj.to_dict()
    343     elif isinstance(obj, np.number):

/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/altair/utils/schemapi.py in ?(.0)
--> 340 def _todict(obj, context):
    341     """Convert an object to a dict representation."""
    342     if isinstance(obj, SchemaBase):
    343         return obj.to_dict(validate=False, context=context)

/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/altair/utils/schemapi.py in ?(obj, context)
    334     """Convert an object to a dict representation."""
    335     if isinstance(obj, SchemaBase):
    336         return obj.to_dict(validate=False, context=context)
    337     elif isinstance(obj, (list, tuple, np.ndarray)):
--> 338         return [_todict(v, context) for v in obj]
    339     elif isinstance(obj, dict):
    340         return {k: _todict(v, context) for k, v in obj.items() if v is not Undefined}
    341     elif hasattr(obj, "to_dict"):

/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/altair/utils/schemapi.py in ?(.0)
--> 338 def _todict(obj, context):
    339     """Convert an object to a dict representation."""
    340     if isinstance(obj, SchemaBase):
    341         return obj.to_dict(validate=False, context=context)

/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/altair/utils/schemapi.py in ?(obj, context)
    333 def _todict(obj, context):
    334     """Convert an object to a dict representation."""
    335     if isinstance(obj, SchemaBase):
--> 336         return obj.to_dict(validate=False, context=context)
    337     elif isinstance(obj, (list, tuple, np.ndarray)):
    338         return [_todict(v, context) for v in obj]
    339     elif isinstance(obj, dict):

/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/altair/vegalite/v5/api.py in ?(self, *args, **kwargs)
   2516             # for easier specification of datum encodings.
   2517             copy = self.copy(deep=False)
   2518             copy.data = core.InlineData(values=[{}])
   2519             return super(Chart, copy).to_dict(*args, **kwargs)
-> 2520         return super().to_dict(*args, **kwargs)

/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/altair/vegalite/v5/api.py in ?(self, *args, **kwargs)
    846 
    847         # TopLevelMixin instance does not necessarily have to_dict defined
    848         # but due to how Altair is set up this should hold.
    849         # Too complex to type hint right now
--> 850         dct = super(TopLevelMixin, copy).to_dict(*args, **kwargs)  # type: ignore[misc]
    851 
    852         # TODO: following entries are added after validation. Should they be validated?
    853         if is_top_level:

/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/altair/utils/schemapi.py in ?(self, validate, ignore, context)
    792                 k: v for k, v in kwds.items() if k not in list(ignore) + ["shorthand"]
    793             }
    794             if "mark" in kwds and isinstance(kwds["mark"], str):
    795                 kwds["mark"] = {"type": kwds["mark"]}
--> 796             result = _todict(
    797                 kwds,
    798                 context=context,
    799             )

/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/altair/utils/schemapi.py in ?(obj, context)
    336         return obj.to_dict(validate=False, context=context)
    337     elif isinstance(obj, (list, tuple, np.ndarray)):
    338         return [_todict(v, context) for v in obj]
    339     elif isinstance(obj, dict):
--> 340         return {k: _todict(v, context) for k, v in obj.items() if v is not Undefined}
    341     elif hasattr(obj, "to_dict"):
    342         return obj.to_dict()
    343     elif isinstance(obj, np.number):

/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/altair/utils/schemapi.py in ?(.0)
--> 340 def _todict(obj, context):
    341     """Convert an object to a dict representation."""
    342     if isinstance(obj, SchemaBase):
    343         return obj.to_dict(validate=False, context=context)

/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/altair/utils/schemapi.py in ?(obj, context)
    333 def _todict(obj, context):
    334     """Convert an object to a dict representation."""
    335     if isinstance(obj, SchemaBase):
--> 336         return obj.to_dict(validate=False, context=context)
    337     elif isinstance(obj, (list, tuple, np.ndarray)):
    338         return [_todict(v, context) for v in obj]
    339     elif isinstance(obj, dict):

/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/altair/utils/schemapi.py in ?(self, validate, ignore, context)
    792                 k: v for k, v in kwds.items() if k not in list(ignore) + ["shorthand"]
    793             }
    794             if "mark" in kwds and isinstance(kwds["mark"], str):
    795                 kwds["mark"] = {"type": kwds["mark"]}
--> 796             result = _todict(
    797                 kwds,
    798                 context=context,
    799             )

/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/altair/utils/schemapi.py in ?(obj, context)
    336         return obj.to_dict(validate=False, context=context)
    337     elif isinstance(obj, (list, tuple, np.ndarray)):
    338         return [_todict(v, context) for v in obj]
    339     elif isinstance(obj, dict):
--> 340         return {k: _todict(v, context) for k, v in obj.items() if v is not Undefined}
    341     elif hasattr(obj, "to_dict"):
    342         return obj.to_dict()
    343     elif isinstance(obj, np.number):

/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/altair/utils/schemapi.py in ?(.0)
--> 340 def _todict(obj, context):
    341     """Convert an object to a dict representation."""
    342     if isinstance(obj, SchemaBase):
    343         return obj.to_dict(validate=False, context=context)

/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/altair/utils/schemapi.py in ?(obj, context)
    333 def _todict(obj, context):
    334     """Convert an object to a dict representation."""
    335     if isinstance(obj, SchemaBase):
--> 336         return obj.to_dict(validate=False, context=context)
    337     elif isinstance(obj, (list, tuple, np.ndarray)):
    338         return [_todict(v, context) for v in obj]
    339     elif isinstance(obj, dict):

/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/altair/vegalite/v5/schema/channels.py in ?(self, validate, ignore, context)
     43                 # We still parse it out of the shorthand, but drop it here.
     44                 parsed.pop('type', None)
     45             elif not (type_in_shorthand or type_defined_explicitly):
     46                 if isinstance(context.get('data', None), pd.DataFrame):
---> 47                     raise ValueError(
     48                         'Unable to determine data type for the field "{}";'
     49                         " verify that the field name is not misspelled."
     50                         " If you are referencing a field from a transform,"

ValueError: Unable to determine data type for the field "tech_type"; verify that the field name is not misspelled. If you are referencing a field from a transform, also confirm that the data type is specified correctly.
alt.FacetChart(...)
  • Total Start Existing Capacity
  • Total End Existing Capacity
  • Regional End Existing Capacity
tech_type planning_year GenX SWITCH TEMOA USENSYS
Battery 2027 21854 17782 21847 21854
Battery 2030 21719 21854 21547 21719
Battery 2035 20535 21642 21537 20535
Battery 2040 84 8440 313 84
Battery 2045 0 nan 313 nan
Battery 2050 0 nan 313 nan
Coal 2027 157337 179144 157337 157337
Coal 2030 142458 156099 154481 142458
Coal 2035 122365 142216 140708 122365
Coal 2040 82414 120191 115870 82414
Coal 2045 57333 82030 81145 57333
Coal 2050 30232 54908 54296 30232
Distributed Solar 2027 47556 47886 47886 47556
Distributed Solar 2030 72304 72744 47886 72304
Distributed Solar 2035 96511 97023 72743 96511
Distributed Solar 2040 102759 103282 97023 102759
Distributed Solar 2045 107818 108374 103282 107818
Distributed Solar 2050 116123 116713 108368 116123
Geothermal 2027 676 1377 825 676
Geothermal 2030 621 1333 825 621
Geothermal 2035 591 1219 754 591
Geothermal 2040 398 1159 542 398
Geothermal 2045 217 740 390 217
Geothermal 2050 100 425 45 100
Hydro 2027 94746 98950 94302 94746
Hydro 2030 92716 97093 93814 92716
Hydro 2035 91778 94939 91883 91778
Hydro 2040 89100 93961 91031 89100
Hydro 2045 84874 91187 88439 84874
Hydro 2050 81492 86848 84348 81492
Natural Gas CC 2027 306785 312831 306786 306785
Natural Gas CC 2030 305219 314272 305830 305219
Natural Gas CC 2035 300271 313231 303311 300271
Natural Gas CC 2040 297744 309616 298290 297744
Natural Gas CC 2045 295809 307505 295527 295809
Natural Gas CC 2050 287607 305702 292957 287607
Natural Gas CT 2027 140564 143141 140562 140564
Natural Gas CT 2030 139354 140564 139068 139354
Natural Gas CT 2035 136588 139030 137611 136588
Natural Gas CT 2040 130481 135656 134278 130481
Natural Gas CT 2045 119365 130481 129173 119365
Natural Gas CT 2050 95279 119305 118005 95279
Nuclear 2027 97038 95924 97038 97038
Nuclear 2030 97038 97038 96853 97038
Nuclear 2035 97038 97038 96853 97038
Nuclear 2040 97038 97038 96852 97038
Nuclear 2045 97038 97038 96852 97038
Nuclear 2050 94298 97038 96852 94298
Solar 2027 115692 93722 115693 115692
Solar 2030 115685 115692 115693 115685
Solar 2035 115677 115685 115686 115677
Solar 2040 115288 115677 115678 115288
Solar 2045 103532 115288 115185 103532
Solar 2050 69624 103532 102943 69624
Wind 2027 155394 149216 155395 155394
Wind 2030 154608 153894 155395 154608
Wind 2035 148441 154581 154610 148441
Wind 2040 117636 148441 148469 117636
Wind 2045 83551 117636 117078 83551
Wind 2050 37428 83276 82658 37428
tech_type planning_year GenX SWITCH TEMOA USENSYS
Battery 2027 21854 21894 21653 21854
Battery 2030 21719 21818 21537 21719
Battery 2035 20535 21020 20673 20535
Battery 2040 84 84 313 84
Battery 2045 0 nan 313 nan
Battery 2050 0 nan 313 nan
Coal 2027 157337 163248 155767 157337
Coal 2030 142458 143876 141035 142458
Coal 2035 122365 125937 121141 122365
Coal 2040 82414 88262 81587 82414
Coal 2045 57333 64898 56759 57333
Coal 2050 30232 31478 29924 30232
Distributed Solar 2027 47556 47886 47886 47556
Distributed Solar 2030 72304 72744 72743 72304
Distributed Solar 2035 96511 97023 97023 96511
Distributed Solar 2040 102759 103282 103282 102759
Distributed Solar 2045 107818 108374 108368 107818
Distributed Solar 2050 116123 116713 116688 116123
Geothermal 2027 676 1333 825 676
Geothermal 2030 621 1275 754 621
Geothermal 2035 591 1189 717 591
Geothermal 2040 398 795 390 398
Geothermal 2045 217 496 227 217
Geothermal 2050 100 243 45 100
Hydro 2027 94746 97523 93814 94746
Hydro 2030 92716 95785 91883 92716
Hydro 2035 91778 94032 91031 91778
Hydro 2040 89100 91586 88439 89100
Hydro 2045 84874 87237 84348 84874
Hydro 2050 81492 84569 81024 81492
Natural Gas CC 2027 306785 315077 305830 306785
Natural Gas CC 2030 305219 313442 303311 305219
Natural Gas CC 2035 300271 309829 298290 300271
Natural Gas CC 2040 297744 307611 295527 297744
Natural Gas CC 2045 295809 305929 292957 295809
Natural Gas CC 2050 287607 301379 284731 287607
Natural Gas CT 2027 140564 140861 139198 140564
Natural Gas CT 2030 139354 139627 137932 139354
Natural Gas CT 2035 136588 137335 135242 136588
Natural Gas CT 2040 130481 132113 129173 130481
Natural Gas CT 2045 119365 123239 118124 119365
Natural Gas CT 2050 95279 110178 94256 95279
Nuclear 2027 97038 97038 96853 97038
Nuclear 2030 97038 97038 96853 97038
Nuclear 2035 97038 97038 96852 97038
Nuclear 2040 97038 97038 96852 97038
Nuclear 2045 97038 97038 96852 97038
Nuclear 2050 94298 96414 94174 94298
Solar 2027 115692 115696 115693 115692
Solar 2030 115685 115685 115686 115685
Solar 2035 115677 115678 115678 115677
Solar 2040 115288 115519 115287 115288
Solar 2045 103532 106893 103440 103532
Solar 2050 69624 80234 69396 69624
Wind 2027 155394 153912 155395 155394
Wind 2030 154608 154641 154610 154608
Wind 2035 148441 150601 148469 148441
Wind 2040 117636 122448 117660 117636
Wind 2045 83551 92075 83528 83551
Wind 2050 37428 51820 37376 37428
agg_zone tech_type resource_name planning_year GenX SWITCH TEMOA USENSYS
Loading ITables v2.1.4 from the internet... (need help?)
  • Expansion by line
  • Total expansion
  • Total expansion map
  • Emissions
  • Emissions intensity
  • 2030 Dispatch
  • 2040 Dispatch
  • 2050 Dispatch
  • 2030 Wind Dispatch
  • 2040 Wind Dispatch
  • 2050 Wind Dispatch
  • Battery
  • Solar
  • Wind
  • Natural Gas CC
  • Natural Gas CT
  • Hydro